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Relación predictiva no lineal entre el PIB per cápita y la tasa de mortalidad: caso de estudio Reino Unido

Translated title of the contribution: Nonlinear Predictive Relationship Between GDP per capita and Mortality Rate: UK Case Study
  • Orlando Joaqui-Barandica
  • , Oscar Walduin Orozco-Cerón
  • Universidad del Valle

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Various analyses have studied the hypothesis of the change in mortality rates, finding, in some cases, a decrease, which has been associated to different fac-tors, including economic growth. This study applies a cross-quantilogram to study the relationship between GDP per capita and the mortality rate for both men and women, taking the United Kingdom as a case study. The objective is to show that there are associations between different quantiles of the variables studied. It is found that there are asymmetric associations, the results show that there is a greater impact of GDP (Gross domestic product) per capita on the mortality rate, compared to the opposite relationship. In the case of women and men, high quantiles of economic growth have a greater impact on redu-cing mortality rates compared to low quantiles of economic growth, this may be a factor that can be attributed to the highly loaded labor force for males.
Translated title of the contributionNonlinear Predictive Relationship Between GDP per capita and Mortality Rate: UK Case Study
Original languageSpanish
Pages (from-to)177-206
Number of pages30
JournalDesarrollo y Sociedad
Volume2023
Issue number93
DOIs
StatePublished - 03 Mar 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Asymmetry
  • United Kingdom
  • cross-quantilogram
  • demographics
  • economic growth

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